Evidence map›Paper›PMID 10713691›Full record

ReviewOncogene2000

Dual regulation of proliferation and apoptosis: c-myc in bitransgenic murine mammary tumor models.

M H Jamerson, M D Johnson, R B Dickson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  11. Of mice and Myc: c-Myc and mammary tumorigenesis.Journal of mammary gland biology and neoplasia · 2004
    Review
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  16. Pronounced reduction in adenoma recurrence associated with aspirin use and a polymorphism in the ornithine decarboxylase gene.Proceedings of the National Academy of Sciences of the United States of America · 2003
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

M H JamersonThe Lombardi Cancer Center, Georgetown University Medical Center, Georgetown University, Washington DC 20007, USA.
M D Johnson
R B Dickson
Georgetown University · USGeorgetown University Medical Center · US

Funding

EGF FAMILY INDUCTION OF MAMMARY HYPERPLASIAS AND TUMORSR01CA072460 · NCI · GEORGETOWN UNIVERSITY · PI DICKSON, ROBERT B. · 1997 to 2000
$235k
NCI NIH HHS 1R01CA72460NIA NIH HHS 1R01AG1496
6 · The paper itself

Abstract

Recent progress in the study of c-Myc has convincingly demonstrated that it possesses a dual role in regulating both proliferation and apoptosis; however, the manner in which c-Myc influences these cellular response pathways remains incompletely characterized. Deregulation of c-Myc expression, via many mechanisms, is a common feature of multiple cancers and is an especially prominent feature of many breast cancers. Of significant interest to those who study mammary gland development and neoplasia is the unresolved nature and contribution of apoptosis to breast tumorigenesis. Recently, the use of transgenic mice and gene-knockout mice has allowed investigators to evaluate the pathological mechanisms by which different genes influence tumor development and progression. In this review, we address two distinct c-myc-containing bitransgenic murine mammary tumor models and discuss the contribution and possible future directions for resolution of cancer-relevant molecular pathways influenced by c-Myc.

Indexed as

Genes, mycMice, TransgenicAnimalsApoptosisBreast NeoplasmsCell DivisionFemaleHumansMammary Neoplasms, ExperimentalMiceMilk ProteinsTransforming Growth Factor alphaTumor Suppressor Protein p53Milk ProteinsTransforming Growth Factor alphaTumor Suppressor Protein p53whey acidic proteins

Identifiers

PMID10713691
OpenAlexW2013172326

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.